Model save
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README.md
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emissions.csv
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timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
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2024-03-
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timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
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2024-03-07T21:48:55,codecarbon,553931a9-e9f0-4912-9595-3558f2a918d0,4719.392146110535,0.653619869233852,0.00013849662181019006,112.5,513.024,377.8920922279358,0.14747896840423333,1.2035575879333655,0.4936953341273032,1.8447318904649,Germany,DEU,free and hanseatic city of hamburg,,,Linux-5.15.0-97-generic-x86_64-with-glibc2.35,3.11.4,2.2.3,128,AMD EPYC 7543 32-Core Processor,5,4 x NVIDIA A401 x NVIDIA A100 80GB PCIe,9.9683,53.5649,1007.7122459411621,machine,N,1.0
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